Literature DB >> 20144321

Technologies for diabetes genomics.

Patricia W Mueller1.   

Abstract

The genetic risk for diabetes largely depends on the type of diabetes and the penetrance and severity of the effect of the contributing genes. This ranges from the high-risk mutations of neonatal diabetes and maturityonset diabetes of the young to the lower, but still significant, risk conferred by common human leukocyte antigen alleles in type 1 diabetes to the still-lower risk conferred by the common variants associated with type 2 diabetes. There are many new molecular technologies, each with their own set of methodological issues, that have been used for genome-wide association studies and that can be used for determining the genetic risk for these various types of diabetes. These technologies include whole genome single nucleotide polymorphism microarrays, high-throughput polymorphism analyzers, next-generation sequencers, and copy-number variant technologies. Copyright 2009 Diabetes Technology Society.

Entities:  

Mesh:

Year:  2009        PMID: 20144321      PMCID: PMC2769982          DOI: 10.1177/193229680900300419

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  9 in total

Review 1.  Genetic dissection of type 2 diabetes.

Authors:  Martin Ridderstråle; Leif Groop
Journal:  Mol Cell Endocrinol       Date:  2008-10-19       Impact factor: 4.102

Review 2.  Clinical review: the genetics of type 2 diabetes: a realistic appraisal in 2008.

Authors:  Jose C Florez
Journal:  J Clin Endocrinol Metab       Date:  2008-09-09       Impact factor: 5.958

Review 3.  Extreme genetic risk for type 1A diabetes in the post-genome era.

Authors:  Erin E Baschal; George S Eisenbarth
Journal:  J Autoimmun       Date:  2008-05-01       Impact factor: 7.094

4.  Diagnosis and treatment of neonatal diabetes: a United States experience.

Authors:  Julie Støy; Siri Atma W Greeley; Veronica P Paz; Honggang Ye; Ashley N Pastore; Kinga B Skowron; Rebecca B Lipton; Fran R Cogen; Graeme I Bell; Louis H Philipson
Journal:  Pediatr Diabetes       Date:  2008-07-25       Impact factor: 4.866

5.  Identification of mutations in the Kir6.2 subunit of the K(ATP) channel.

Authors:  Sarah E Flanagan; Sian Ellard
Journal:  Methods Mol Biol       Date:  2008

Review 6.  Genetics of type 2 diabetes.

Authors:  Katharine R Owen; Mark I McCarthy
Journal:  Curr Opin Genet Dev       Date:  2007-04-26       Impact factor: 5.578

7.  The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes.

Authors:  Janet M Wenzlau; Kirstine Juhl; Liping Yu; Ong Moua; Suparna A Sarkar; Peter Gottlieb; Marian Rewers; George S Eisenbarth; Jan Jensen; Howard W Davidson; John C Hutton
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

8.  Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study.

Authors:  Peter W F Wilson; James B Meigs; Lisa Sullivan; Caroline S Fox; David M Nathan; Ralph B D'Agostino
Journal:  Arch Intern Med       Date:  2007-05-28

9.  Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk.

Authors:  Hana Lango; Colin N A Palmer; Andrew D Morris; Eleftheria Zeggini; Andrew T Hattersley; Mark I McCarthy; Timothy M Frayling; Michael N Weedon
Journal:  Diabetes       Date:  2008-06-30       Impact factor: 9.461

  9 in total
  1 in total

1.  The personalized medicine for diabetes meeting summary report.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2009-07-01
  1 in total

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